计算流体动力学模拟动力空气净化呼吸器呼出颗粒的流动。

Susan S Xu, Zhipeng Lei, Ziqing Zhuang, Michael Bergman
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引用次数: 0

摘要

在外科手术环境中,传染性微粒伤口污染是造成术后感染的公认原因。医护人员广泛使用动力空气净化呼吸器(PAPRs)来防止感染性气溶胶。医护人员感染预防专家担心,从空气净化呼吸器呼气通道排出的传染性微粒可能会导致医护人员相关感染,尤其是在强调无菌操作技术的手术环境中。本研究使用计算流体动力学(CFD)建模来模拟和观察气动辅助呼吸器佩戴者呼出的微粒的分布情况。在 CFD 模拟中,确定了呼出微粒的向外释放量,即 PAPR 外的呼出微粒浓度与 PAPR 内的呼出微粒浓度之比。这项研究还评估了颗粒大小、供气流速和呼吸功率对向外泄漏的影响。这项针对头模和宽松式空气呼吸器系统的模拟研究包括以下四个主要步骤:(1)预处理(通过捕捉三维图像建立佩戴宽松式空气呼吸器的头模的几何模型),(2)定义头模和空气呼吸器系统的数学模型,以及(3)使用四种颗粒大小运行总共 24 次模拟、(4) 对模拟结果进行后处理,以直观地显示 PAPR 内部呼出颗粒的分布情况,并确定 PAPR 外部的颗粒浓度与内部浓度的比较。我们假设没有环境颗粒,只有呼出的颗粒存在。结果表明,PAPR 外部和内部的呼出颗粒浓度比值受呼出颗粒大小、呼吸工作量和供气流速的影响。我们发现,在轻度呼吸和 205 升/分钟的供气流速条件下,颗粒大小为 0.1 和 1 μm 时,佩戴空气呼吸器者呼出的颗粒浓度外漏率约为 9%,这与手术环境中医护人员的呼吸生理情况相似。我们发现,供气流速和工作速率对向外泄漏有显著影响,随着颗粒尺寸的减小、呼吸工作量的增加和供气流速的降低,向外泄漏的浓度会增加。我们的模拟研究结果应有助于为今后的临床研究奠定基础。
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COMPUTATIONAL FLUID DYNAMICS SIMULATION OF FLOW OF EXHALED PARTICLES FROM POWERED-AIR PURIFYING RESPIRATORS.

In surgical settings, infectious particulate wound contamination is a recognized cause of post-operative infections. Powered air-purifying respirators (PAPRs) are widely used by healthcare workers personal protection against infectious aerosols. Healthcare infection preventionists have expressed concern about the possibility that infectious particles expelled from PAPR exhalation channels could lead to healthcare associated infections, especially in operative settings where sterile procedural technique is emphasized. This study used computational fluid dynamics (CFD) modeling to simulate and visualize the distribution of particles exhaled by the PAPR wearer. In CFD simulations, the outward release of the exhaled particles, i.e., ratio of exhaled particle concentration outside the PAPR to that of inside the PAPR, was determined. This study also evaluated the effect of particle sizes, supplied air flow rates, and breathing work rates on outward leakage. This simulation study for the headform and loose-fitting PAPR system included the following four main steps: (1) preprocessing (establishing a geometrical model of a headform wearing a loose-fitting PAPR by capturing a 3D image), (2) defining a mathematical model for the headform and PAPR system, and (3) running a total 24 simulations with four particle sizes, three breathing workloads and two supplied-air flow rates (4×3×2=24) applied on the digital model of the headform and PAPR system, and (4) post-processing the simulation results to visually display the distribution of exhaled particles inside the PAPR and determine the particle concentration of outside the PAPR compared with the concentration inside. We assume that there was no ambient particle, and only exhaled particles existed. The results showed that the ratio of the exhaled particle concentration outside to inside the PAPR were influenced by exhaled particle sizes, breathing workloads, and supplied-air flow rates. We found that outward concentration leakage from PAPR wearers was approximately 9% with a particle size of 0.1 and 1 μm at the light breathing and 205 L/min supplied-air flow rates, which is similar to the respiratory physiology of a health care worker in operative settings, The range of the ratio of exhaled particle concentration leaking outside the PAPR to the exhaled particle concentration inside the PAPR is from 7.6% to 49. We found that supplied air flow rates and work rates have significant impact on outward leakage, the outward concentration leakage increased as particle size decreased, breathing workload increased, and supplied-air flow rate decreased. The results of our simulation study should help provide a foundation for future clinical studies.

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